Quality issues in the use of otoliths for fish age estimation

2005 ◽  
Vol 56 (5) ◽  
pp. 773 ◽  
Author(s):  
A. K. Morison ◽  
J. Burnett ◽  
W. J. McCurdy ◽  
E. Moksness
Keyword(s):  
Pattern Recognition ◽  
Quality Control ◽  
Quality Assurance ◽  
Staff Training ◽  
Age Estimation ◽  
Control Measures ◽  
Validation Process ◽  
Quality Issues ◽  
Human Operators ◽  
And Control

Quality issues in fish age estimation, which historically have focused mainly on inadequacies in the validation process, are increasingly directed at ways to measure and control the errors or inconsistencies in the application of established and validated methods. The process of age estimation, as undertaken by human operators, involves a complex mix of pattern recognition and interpretation based on knowledge and experience. It is best characterised as a skill rather than an art. Such an approach promotes the use of well-recognised techniques designed to maintain and enhance skills that also assist in maintaining standards. The results of a questionnaire completed by representatives of over 50 ageing laboratories worldwide were used to assess current quality assurance and quality control practices. Results indicate a great diversity in attention to, and no clear consensus on desirable standards for, quality issues, including staff training, use of reference sets, reading protocols, and post-reading analyses. This is considered more likely to reflect variation in awareness of the importance of quality issues than variation in the need for quality assurance and quality control measures. Greater attention to a range of quality control processes is urged, particularly the more regular use of reference sets.

A nationwide evaluation of the prevalence of human papillomavirus in Brazil (POP-Brazil study): protocol of data quality assurance and control (Preprint)

2021 ◽  
Author(s):  
Jaqueline Driemeyer Correia Horvath ◽  
Marina Bessel ◽  
Natalia Luiza Kops ◽  
Flávia Moreno Alves Souza ◽  
Gerson Fernando Mendes Pereira ◽  
...  
Keyword(s):  
Quality Control ◽  
Quality Assurance ◽  
Quality Indicators ◽  
Sampling Errors ◽  
Online Data ◽  
Monitoring Visit ◽  
Multicenter Clinical Trials ◽  
Double Entry ◽  
And Control ◽  
Quality Assurance And Control

BACKGROUND The credibility of a study and its internal and external validity depend crucially on the quality of the data produced. Quality control aims to monitor sampling errors and measurements during the execution of a study and is based mainly on two pillars: planning and standardization of procedures. OBJECTIVE The present article aimed to describe the stages of quality control in the POP-Brazil study and to present an analysis of the quality indicators. METHODS Quality assurance and control included several phases and processes that were initiated with the planning of the study and continued through the development of the project; thus, all centers were trained in loco. RESULTS The data were through a structured questionnaire and collection of biological samples, both performed by more than 250 trained and certified health professionals. Furthermore, to correct possible inadequacies, all 119 centers (public health units) received at least one monitoring visit, which evaluated the professionals' performance and the process of completing the online data platform. The data were monitored daily and were audited through the double entry of data, performed by the central team. The reliability of data was analyzed through the test-retest method, comparing data from the online platform and a second application of the interview, and conducted through telephone, also by the central team. The agreement between the test and retest was considered good (kappa between 0.59 and 0.74). Large multicenter clinical trials are the basis of medical evidence-based and health-based prevention, so their design, logistics, and quality processes should always be carefully considered. CONCLUSIONS This article presents the processes and quality indicators in the POP-Brazil study that allow other studies to generate reliable data.

Using Pattern Recognition in Decoding Hazard Analysis and Critical Control Points (HACCP) for Quality Assurance

2018 ◽  
pp. 1788-1801
Author(s):  
Rahul Bhaskar ◽  
Au Vo
Keyword(s):  
Pattern Recognition ◽  
Quality Control ◽  
Quality Assurance ◽  
Food Industry ◽  
Hazard Analysis ◽  
Control Points ◽  
Critical Control Points ◽  
Haccp System ◽  
Preliminary Research

Jack Grealish is an aspiring entrepreneur. During his undergraduate in UCLA, he worked in his father's business, which focused on selling specialized foods. He became fascinated with the food industry and find out more what it entails. His investigation has unveiled the landscape of the food industry. Furthermore, he discovered that the hazard analysis and critical control points (HACCP) system implemented in the food industry was rather disjointed and could benefit from automation. He conducted a preliminary research about current HACCP development and determine to plunge ahead. Jack ponders about the possibility of integrating different pattern recognition methodologies in HACCP processes to improve the effectiveness of overall quality control at his company.

scholarly journals Assessment of a multi-species in situ FTIR for precise atmospheric greenhouse gas observations

2013 ◽  
Vol 6 (5) ◽  
pp. 1153-1170 ◽  
Author(s):  
S. Hammer ◽  
D. W. T. Griffith ◽  
G. Konrad ◽  
S. Vardag ◽  
C. Caldow ◽  
...  
Keyword(s):  
Quality Control ◽  
Greenhouse Gas ◽  
Flow Rate ◽  
Temporal Stability ◽  
Control Measures ◽  
Monitoring Networks ◽  
In Situ Ftir ◽  
Ch4 And N2o ◽  
And Control

Abstract. We thoroughly evaluate the performance of a multi-species, in situ Fourier transform infrared (FTIR) analyser with respect to high-accuracy needs for greenhouse gas monitoring networks. The in situ FTIR analyser is shown to measure CO2, CO, CH4 and N2O mole fractions continuously, all with better reproducibility than the inter-laboratory compatibility (ILC) goals, requested by the World Meteorological Organization (WMO) for the Global Atmosphere Watch (GAW) programme. Simultaneously determined δ13CO2 reaches reproducibility as good as 0.03‰. Second-order dependencies between the measured components and the thermodynamic properties of the sample, (temperature, pressure and flow rate) and the cross sensitivities among the sample constituents are investigated and quantified. We describe an improved sample delivery and control system that minimises the pressure and flow rate variations, making post-processing corrections for those quantities non-essential. Temperature disequilibrium effects resulting from the evacuation of the sample cell are quantified and improved by the usage of a faster temperature sensor. The instrument has proven to be linear for all measured components in the ambient concentration range. The temporal stability of the instrument is characterised on different time scales. Instrument drifts on a weekly time scale are only observed for CH4 (0.04 nmol mol−1 day−1) and δ13CO2 (0.02‰ day−1). Based on 10 months of continuously collected quality control measures, the long-term reproducibility of the instrument is estimated to ±0.016 μmol mol−1 CO2, ±0.03‰ δ13CO2, ±0.14 nmol mol−1 CH4, ±0.1 nmol mol−1 CO and ±0.04 nmol mol−1 N2O. We propose a calibration and quality control scheme with weekly calibrations of the instrument that is sufficient to reach WMO-GAW inter-laboratory compatibility goals.

scholarly journals Quality assurance and quality control measures applied to indicator mineral studies at the Geological Survey of Canada

2013 ◽  
Author(s):  
A Plouffe ◽  
M B McClenaghan ◽  
R C Paulen ◽  
I McMartin ◽  
J E Campbell ◽  
...  
Keyword(s):  
Quality Control ◽  
Quality Assurance ◽  
Control Measures ◽  
Geological Survey ◽  
Indicator Mineral

Better get moving on laboratory quality assurance

2019 ◽  
Vol 32 (1) ◽  
pp. 84-86
Author(s):  
Sidra Asad Ali ◽  
Muhammad Shariq Shaikh
Keyword(s):  
Quality Control ◽  
Quality Assurance ◽  
Clinical Laboratory ◽  
Improve Patient Safety ◽  
Continuous Process ◽  
Control Measures ◽  
Test Results ◽  
Quality Control Program ◽  
Content Type ◽  
Quality Control Process

Purpose With recent advances in laboratory hematology automation, emphasis is now on quality assurance processes as they are indispensable for generating reliable and accurate test results. It is therefore imperative to acquire efficient measures for recognizing laboratory malfunctions and errors to improve patient safety. The paper aims to discuss these issues. Design/methodology/approach Moving algorithm is a quality control process that monitors analyzer performance from historical records through a continuous process, which does not require additional expenditure, and can serve as an additional support to the laboratory quality control program. Findings The authors describe an important quality assurance tool, which can be easily applied in any laboratory setting, especially in cost-constrained areas where running commercial controls throughout every shift may not be a feasible option. Originality/value The authors focus on clinical laboratory quality control measures for providing reliable test results. The moving average appears to be a reasonable and applicable choice for vigilantly monitoring each result.

Using Pattern Recognition in Decoding Hazard Analysis and Critical Control Points (HACCP) for Quality Assurance

2014 ◽  
Vol 16 (1) ◽  
pp. 60-72 ◽  
Author(s):  
Rahul Bhaskar ◽  
Au Vo
Keyword(s):  
Pattern Recognition ◽  
Quality Control ◽  
Quality Assurance ◽  
Food Industry ◽  
Hazard Analysis ◽  
Control Points ◽  
Critical Control Points ◽  
Haccp System ◽  
Preliminary Research

Jack Grealish is an aspiring entrepreneur. During his undergraduate in UCLA, he worked in his father's business, which focused on selling specialized foods. He became fascinated with the food industry and find out more what it entails. His investigation has unveiled the landscape of the food industry. Furthermore, he discovered that the hazard analysis and critical control points (HACCP) system implemented in the food industry was rather disjointed and could benefit from automation. He conducted a preliminary research about current HACCP development and determine to plunge ahead. Jack ponders about the possibility of integrating different pattern recognition methodologies in HACCP processes to improve the effectiveness of overall quality control at his company.

scholarly journals Quality assurance and quality control measures applied to indicator mineral studies at the Geological Survey of Canada

2017 ◽  
Author(s):  
A Plouffe ◽  
M B McClenaghan ◽  
R C Paulen ◽  
I McMartin ◽  
J E Campbell ◽  
...  
Keyword(s):  
Quality Control ◽  
Quality Assurance ◽  
Control Measures ◽  
Geological Survey ◽  
Indicator Mineral
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